Kinesiophobia - Introducing a New Diagnostic Tool: Technical development of human civilisation brings about a decrease of adaptation potential of an individual, which is directly linked to deficient motor activity. Only precise identification of factors leading to hypokinesia would make prophylactic and therapeutic actions possible. In this article, authors would like to introduce a new, original tool aiming at diagnosing limitations of motor activity in adults. They propose a synthetic diagnosis of hypokinesia in two domains: biological and psycho-social, which is based on the contemporary model of health.
1 December 2019 in Patient Preference and Adherence
Introduction: The most commonly occurring diseases among the elderly people are cardiovascular system ones and among them the coronary artery disease (CAD). It is considered that the age and insufficient level of physical activity (PA) are the crucial risk factors of CAD. The key barrier which prevents elderly people from undertaking physical activity may be the fear of activity, called kinesiophobia. Aim: The aim of this project was to examine the frequency of kinesiophobia among Polish elderly patients with CAD and its potential conditions: sex, age, CAD duration, other diseases and chosen socio-demographic variables. Reference and methods: There have been 135 people examined: 59 women and 76 men in the 65–88 age range (average =71.88 years, SD=4.82). They were people diagnosed with stable CAD. The questionnaire form which was used collected information concerning the socio-demographical and physical activity data. And for kinesiophobia, there was Tampa Scale used, which is dedicated to examine cardiac patients – TSK heart. Results: Over 76% of examined patients had a high level of kinesiophobia (TSK>37 pt). Sex, age, BMI, CAD duration and the number of other diseases did not have any connection with neither PA nor TSK. Education was the only one, among the socio-demographic variables, which differentiated the kinesiophobia. Better educated people had a lower level of it. Conclusion: Kinesiophobia is a common problem among the elderly people suffering from CAD. It is caused by a lack of physical activity which adversely predicts the progression of the disease. People with higher education are more rarely affected by kinesiophobia. CAD patients should be provided with knowledge and training concerning PA and there should be conditions created to enhance it.
17 March 2020 in Annals of Agricultural and Environmental Medicine
Introduction: The importance of the problem of reduced motor activity in the prophylaxis and treatment of many diseases has resulted in numerous adaptations of a diagnostic tool, both for the disease and for linguistic and cultural versions. This also applies to cardiovascular diseases. The...
Background: Stroke (S), multiple sclerosis (MS), Parkinson’s disease (PD) are chronic neurological diseases that are a challange for public health and represent a real social problem. Physical activity (PA) improves functional performance, reduces various symptoms in PD and MS, in stroke- reduced neurological impairment of patients and provides a chance for independence. One of the main obstacles in successful rehabilitation is patients’ movement passivity. The reason might be the psychological aspects, in particular fear of movement—kinesiophobia. Aim: To determine how many patients with S, MS, and PD suffer from kinsiophobia and what factors influence this process. Methods: Fifty patients after stroke, eighty one MS patients and sixty one PD patients were consecutively recruited from hospital and outpatients clinics. The sociodemographic data, self- assesment of fitness, Visual Analogue Scale (VAS) for pain, Tampa Scale of Kinesiophobia (TSK) and The Modified Baecke Questionnarie for Older Adults for physical activity were collected. A score >37 was considered to indicate a high level of kinesiophobia according to the TSK. Results: High level of kinesiophobia was shown in 66.67% of the subjects. TSK medians in particular illnesses were above the cut-off score and amounted: S—42.50 points; MS—38 points; PD—42.00 points. Regression showed 15% of fluctuation of variance (R2 = 0.1498; p < 0.0001), where regression factor showed: for mobility self-assessment: b = −0.2137 and for the age b = 0.0065. Conclusions: Kinesiophobia among the patients suffering from S, MS and PD concerns most of the subjects. Predictors of kinesiophobia are: limitations connected with functioning and age. The meaning of kinesiophobia in neurological disorders requires further research.
Background: Back pain represents one of the most common diseases across various populations of workers worldwide. This study analyzes the prevalence and severity of back pain, based on selected demographic variables, and the relationship with physical activity among school teachers. Material...
A commonly used physiotherapeutic method for the treatment of urinary incontinence (UI) after radical prostatectomy (RP) is pelvic floor muscle training (PFMT). The aim of this study was to evaluate the effectiveness of PFMT by enhanced biofeedback using the 1h pad-weighing test. The following factors were taken into consideration in the analysis of PFMT effectiveness: the relevance of the patients’ age, time from RP, BMI, mental health, functional state, and depression. A total of 60 post-RP patients who underwent 10-week PFMT were studied. They were divided into groups: A (n = 20) and B (n = 20) (random division, time from RP: 2–6 weeks) and group C (time from RP > 6 weeks). Group B had enhanced training using EMG biofeedback. UI improved in all groups: A, p = 0.0000; B, p = 0.0000; and C, p = 0.0001. After the completion of PFMT, complete control over miction was achieved by 60% of the patients in group A, 85% in group B, and 45% in group C. There was no correlation between the results of PFMT efficacy and patients’ age, BMI, time from RP, mental health, functional state, and depression. PFMT is highly effective in UI treatment. The enhancement of PFMT by EMG biofeedback seems to increase the effectiveness of the therapy.